Journal
ADVANCES IN WATER RESOURCES
Volume 111, Issue -, Pages 58-69Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.advwatres.2017.10.024
Keywords
Nitrate reduction; Groundwater; Modeling; Spatially targeted regulation; Upscaling
Categories
Funding
- BONUS
- joint Baltic Sea research and development programme [185]
- EU's Seventh Programme for research, technological development and demonstration
- Innovation Fund Denmark
- Swedish Environmental Protection Agency
- Polish National Centre for Research and Development
- German Ministry for Education and Research
- Russian Foundation for Basic Researches (RFBR)
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This paper describes a modeling approach proposed to simulate the impact of local-scale, spatially targeted N-mitigation measures for the Baltic Sea Basin. Spatially targeted N-regulations aim at exploiting the considerable spatial differences in the natural N-reduction taking place in groundwater and surface water. While such measures can be simulated using local-scale physically-based catchment models, use of such detailed models for the 1.8 million km(2) Baltic Sea basin is not feasible due to constraints on input data and computing power. Large-scale models that are able to simulate the Baltic Sea basin, on the other hand, do not have adequate spatial resolution to simulate some of the field-scale measures. Our methodology combines knowledge and results from two local-scale physically-based MIKE SHE catchment models, the large-scale and more conceptual E-HYPE model, and auxiliary data in order to enable E-HYPE to simulate how spatially targeted regulation of agricultural practices may affect N-loads to the Baltic Sea. We conclude that the use of E-HYPE with this upscaling methodology enables the simulation of the impact on N-loads of applying a spatially targeted regulation at the Baltic Sea basin scale to the correct order-of-magnitude. The E-HYPE model together with the upscaling methodology therefore provides a sound basis for large-scale policy analysis; however, we do not expect it to be sufficiently accurate to be useful for the detailed design of local-scale measures.
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